Definition of Total Differential
For a function , the total differential dz is defined as the sum of the partial derivatives multiplied by the differentials of the independent variables.
The Math Sorcerer · YouTube · 2:37
This introductory video explains the concept of the total differential for a function of two variables, . The instructor defines the total differential using the formula dz = (∂)dx + (f/∂y)dy and briefly touches upon its applications in solving exact differential equations and making approximations. A simple example, finding the total differential of , is worked out step-by-step on a whiteboard to demonstrate the calculation process.
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Generated from the video's visuals and explanation; not verbatim speech.
The video begins by introducing the concept of the total differential for a function of two variables, .
The instructor writes the definition on the whiteboard: the total differential dz is equal to the partial derivative of f with respect to x times dx, plus the partial derivative of f with respect to y times dy.
He then discusses the utility of the total differential, mentioning its role in solving exact differential equations and its use in approximating the actual change in a function's value, where dz approximates Delta z.
To illustrate the computation, a simple example is presented: finding the total differential of the function .
The instructor calculates the partial derivative with respect to x, treating y as a constant, resulting in 2xy^2.
Next, he calculates the partial derivative with respect to y, treating x as a constant, yielding .
Combining these parts according to the definition, the final total differential is written as xy^.
The video concludes with brief closing remarks.
For a function , the total differential dz is defined as the sum of the partial derivatives multiplied by the differentials of the independent variables.
The total differential is used in solving exact differential equations and for approximating small changes in a function's value ().
To find the total differential of , compute the partial derivatives: xy^2 and . Then apply the formula.
Explore conditions, steps and evidence. Supplementary explanations are labeled separately from content shown in the video.
The instructor writes on the whiteboard.
He says, 'let's say that we have z and it's a function of two variables f of x y'.
z
Dependent variable or output of the function f.
Real numbers
The instructor writes on the whiteboard.
He refers to it as 'a function of two variables f of x y'.
f
A function of two variables.
Function from to R
The instructor writes on the whiteboard.
He refers to x as one of the two variables.
x
First independent variable of the function f.
Real numbers
The instructor writes on the whiteboard.
He refers to y as one of the two variables.
y
Second independent variable of the function f.
Real numbers
The instructor writes dz = ... on the whiteboard.
He says, 'It's dz and it's equal to...'
dz
The total differential of z.
Real numbers
The instructor writes on the whiteboard.
He says, 'del f del x'.
The partial derivative of f with respect to x.
Real numbers
The instructor writes dx on the whiteboard.
He says, 'dx'.
dx
Differential of the independent variable x.
Real numbers
The instructor writes on the whiteboard.
He says, 'plus del f del y'.
The partial derivative of f with respect to y.
Real numbers
The instructor writes dy on the whiteboard.
He says, 'dy'.
dy
Differential of the independent variable y.
Real numbers
He says, 'dz actually approximates delta z which is the change in z'.
The symbol is not written on the board, only spoken.
The actual change in the value of z.
Real numbers
The instructor writes 'The total differential of is '.
He explains the formula term by term.
For a function of two variables, the total differential, denoted dz, is defined as the sum of the partial derivative of f with respect to x multiplied by dx, and the partial derivative of f with respect to y multiplied by dy.
z is a function of two variables, x and y.
The partial derivatives and exist.
He says, 'when you take the partial with respect to x, all of your y's are constants'.
When taking the partial derivative of a multivariable function with respect to one variable, the other variables are treated as constants.
The function has more than one variable.
He mentions exact differential equations and approximations.
The total differential is used in solving exact differential equations and for approximating the change in a function's value ().
He says, 'Some people call it the total derivative as well, but I believe this is the most common name'.
The concept is commonly called the 'total differential', though some may refer to it as the 'total derivative'.
No quantifiers are stated in the source.
The instructor writes the steps for finding the total differential of .
Given function.
Problem statement.
Take the partial derivative with respect to x, treating y as a constant.
Power rule and constant multiple rule for partial derivatives.
Take the partial derivative with respect to y, treating x as a constant.
Power rule and constant multiple rule for partial derivatives.
Substitute the partial derivatives into the total differential formula.
Definition of the total differential.
The total differential of is xy^.
The instructor writes 'Ex ' and solves for dz.
Find the total differential of the function .
Compute dz.
Differentiate with respect to x, holding y constant.
Rules of partial differentiation.
Differentiate with respect to y, holding x constant.
Rules of partial differentiation.
Apply the formula for the total differential.
Definition of the total differential.
xy^
The result matches the standard formula for the total differential applied to the given function.
The instructor writes the definition of the total differential on the whiteboard step-by-step.
Whiteboard
Marker
Instructor
Text appears on the whiteboard: 'The total differential of is '.
The instructor remains in front of the whiteboard.
Visually presents the mathematical definition being discussed.
The instructor writes an example problem and its solution on the whiteboard.
Whiteboard
Marker
Instructor
Text appears on the whiteboard: 'Ex ' followed by 'xy^'.
The instructor remains in front of the whiteboard.
Demonstrates the application of the total differential formula to a specific function.
He clarifies the naming convention.
Students might be confused if they hear the term 'total derivative'.
The instructor notes that while 'total differential' is the most common name, some people also call it the 'total derivative'.
The formula for dz uses and .
Understanding partial derivatives is necessary to compute the total differential.
He discusses applications like exact differential equations and approximations.
The concept of the total differential is applied in solving certain types of differential equations and in making approximations.
The definition is written on the board.
An example is solved on the board.
Applications are discussed verbally.
Covered · Introduction to the topic and setting up the function .
Covered · Writing and explaining the formula for the total differential.
Covered · Discussing applications of the total differential in differential equations and approximations.
Covered · Working through an example problem to find the total differential of .
Covered · Concluding remarks.
Reviewed subject paths
To find the total differential of , compute the partial derivatives with respect to x and y, then substitute them into the total differential formula. The result is xy^.
Conditions: The function is .; Standard rules of partial differentiation apply.
The total differential of a function is defined as the sum of the partial derivative of f with respect to x multiplied by dx, and the partial derivative of f with respect to y multiplied by dy. The formula is dz = (∂f/∂x)dx + (∂f/∂y)dy.
Conditions: z is a function of two variables, x and y.; The partial derivatives ∂ and ∂ exist.
The total differential is used in solving exact differential equations and for approximating the actual change in a function's value, where dz approximates Δz.
Conditions: The context involves differential equations or function approximation.